Blind, Adaptive Channel Shortening Equalizer Algorithm Which Can Provide Shortened Channel State Information (BACS-SI)

Blind channel‐shortening for multipath channels using a recursive prediction‐error filter with additional prediction delay

“…Simulation tests of the recursive delayed prediction-error filter were conducted with modelled wireless channels. The system model is the same as in foregoing work such as [4,7], shown in Fig. 2; model code available from [25] was the original basis.…”

“…A second area of improvement for the SAM algorithm relates to its multimodal surface that causes multiple local minima. In [7], an adaptive target IR and a genetic algorithm using a fitness function are used to search for the optimum minimum. The authors show that the genetic algorithm can find the optimal minimum within a number of iterations.…”

“…of the extra techniques. In [7], the non-recursive delayed FLP always provided good equalisationbut with the mainly minimum-phase asymmetric digital subscriber line (ADSL) channels. Consistent good equalisation of MCM signals (which cannot readily use bussgang or DD methods) with mixed-phase channels and the recursive FLP cannot here be claimed.…”

Blind a Daptive Channel Shortening with a Generalized Lag-Hopping Algorithm Which Employs Squared Auto-Correlation Minimization [GLHSAM]

“…In [5], however, it has been pointed out that minimizing (8) does not guarantee high SIR for certain combined channel and shortener responses. To overcome this problem our contribution is to generalize a lag hopping version of SLAM, where the lag parameter in (8) is chosen at random to lie within the range v + 1, ...., L c , with equal probability of selecting anyone lag, to the case of selecting randomly, but uniquely, any number of lags between 1 and L c −v, so that on average the cost is identical to (5) when implemented in an adaptive learning algorithm.…”

“…The minimum mean squared error (MMSE) methods, initially proposed in the context of the maximum likelihood sequence estimation problem [7] in the 1970s, were later adapted to MCM [2] following the advances in OFDM in the 1990s. Many other shortening techniques have been developed including the maximum shortening signal-to-noise ratio (MSSNR) method [8]. An intensive survey of these techniques has been composed by Martin, et al, in [10].…”